Feature Engineering for Modern Machine Learning with Scikit-Learn

Chapter 8: AutoML and Automated Feature Engineering

As machine learning has grown in both accessibility and complexity, the demand for tools that streamline the modeling process has increased. AutoML, or Automated Machine Learning, aims to make machine learning more accessible and efficient by automating key tasks, including model selection, hyperparameter tuning, and feature engineering. Automated feature engineering, in particular, is invaluable as it enables the discovery of new, relevant features with minimal manual input, speeding up the data preparation process and often improving model performance.

The rise of AutoML has revolutionized the way data scientists and machine learning practitioners approach their work. By automating time-consuming ...